Per-client access for an agency's AI workers

An agency's problem is not one agent and one toolset. It is the same workflow run across a dozen clients, each with their own ad accounts, CRM portals, analytics properties, and contractual boundaries. The risk multiplies with every client you add.

The failure mode is cross-contamination

Without hard boundaries, the worker that optimizes client A's campaigns is a context slip away from reading client B's data or editing client C's account. "Be careful which account you use" is not a control — it is a hope, repeated across every run and every client.

What per-client scoping gives you

• Isolation — a worker bound to one client's connections cannot reach another's, by construction.
• Reuse without leakage — the same role definition is applied per client, so you scale the workflow, not the risk.
• Clean offboarding — when an engagement ends, revoke that client's connections without disturbing the rest.
• Per-client audit — you can show any client exactly what was done in their accounts, and nothing else.

"We were careful" is not an answer a client accepts after their data showed up in someone else's report.

Scope is the product

For agencies, governance is not overhead — it is what makes running AI across a book of clients defensible. Grantry models each client as its own set of connections and scopes workers to one engagement at a time, so the boundary is structural rather than aspirational.